Construct a 99% confidence interval to estimate the population proportion with a sample proportion equal to 0.90 and a sample size equal to 450. Click the icon to view a portion of the Cumulative Probabilities for the Standard Normal Distribution table. Cumulative probabilities to the left of z A 99% confidence interval estimates that the population proportion is between a lower limit of and an upper limit of (Round to three decimal places as needed.) Cumulative Probabilities for the Standard Normal Distribution Cumulative pobability Table entries eprsent the shaded arca in the figure SECOND DIGIT OF z FIRST DIGIT OF Z 0.01 0.03 004 0.05 0.06 0.07 0.08 0.09 0.00 0.02 05000 0.5040 0.5080 0,5120 0.5160 05199 0.5239 05279 0.319 05359 0.0 0.5478 0.5517 0.5557 0.5596 0.5636 05675 0.5714 05753 0.1 05398 0.5438 0.5832 0.5871 0.5948 0.5987 0.6026 0.6064 06103 06141 0.2 05793 0.5910 0.6255 0.6293 0.6331 06368 06406 0.6443 0.6480 0.6517 03 0.6179 0.6217 06591 0.6628 0.6700 0.6736 0.6772 0.6808 06844 0.6879 0.4 0.6554 0.6664 0.7054 0.7123 0.7157 0.7190 0.7224 0.5 0.6915 0.6950 0.6985 0.7019 0.7088 0.7324 0.7357 0.7422 0.7454 0.7486 0.7517 0.7549 0.7389 0.6 0.7257 0.7291 0.7642 0.7673 0.7734 07764 0.7704 0.7823 0.7852 0.7704 0.7 0.7580 0.7611 0.8023 0.8051 0.8078 0.8106 0.8133 08 0.7681 0.7910 0.7939 0.7967 0.7995 0.8264 0.8289 0.8315 08340 O.865 0.8389 08159 0.8186 0.8212 0.8238 09 0.8461 0.8485 0.8531 0.8554 0.8577 0.8599 0.8621 10 0.5413 0.8438 ORS08 0.8708 08729 0.8749 08770 08790 0.8810 0.8830 11 0.8643 0.8665 0.8686 09015

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Answered: Construct a 99% confidence interval to estimate the population proportion with a sample proportion equal to 0.90 and a sample size equal to 450. Click the icon…

MATLAB: An Introduction with Applications

6th Edition

ISBN: 9781119256830

Author: Amos Gilat

Publisher: John Wiley & Sons Inc

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Question

Construct a 99% confidence interval to estimate the population proportion with a sample portion equal to 0.90 and the sample size equal to 450.

Construct a 99% confidence interval to estimate the population proportion with a sample proportion equal to 0.90 and a sample size equal to 450.
Click the icon to view a portion of the Cumulative Probabilities for the Standard Normal Distribution table.
Cumulative probabilities to the left of z
A 99% confidence Interval estimates that the population proportion is,between a lower limit of and an upper limit of
(Round to three decimal places as needed.)
Cumulative Probabilities for the Standard Normal Distribution
Cumulative
pobability
Table entries
Rprset the shadad
arca in the figure
SECOND DIGIT OF z
FIRST DIGIT OF Z
0.01
0.03
0.04
0.05
0.06
0.07
0.08
0.09
0.00
0.02
05000
0.5040
0.5080
0,5120
0.5160
05199
0.5239
05279
0.319
05359
0.0
0.5636
0.5714
05753
0.1
05398
05438
0.5478
05517
0.5557
0.5596
05675
0.5832
0.5871
0.5948
0.5987
0.6026
0.6064
06103
06141
0.5910
0.2
05793
0.6293
0.6368
06406
0.6443
06480
06517
03
06179
0.6217
0.6255
0.6331
0.6554
06591
0.6628
0.6664
0.6700
0.6736
0.6772
0.6808
06844
0.6879
04
0.7123
0.7157
0.7190
0.7224
0.
0.6915
0.6950
0.6985
0.7019
0.7054
0.7088
0.7324 0.7357
0.7422
0.7454
0.7486
0.7517
0.7549
0.7389
0.6
0.7257
0.7291
0.7642
0.7673
0.7704
0.7734
0.7764
0.7794
0.7823
0.7852
07
0.7580
0.7611
0.8023
0.8051
0.8078
0,8106
0.8133
08
0.7881
0.7910
0.7939
0.7967
0.7995
0.8238
0.8264
0.8289
0.8315
08340
0.865
0.8389
08159
0.8186
0.8212
09
0.8485
0.8508
0.8531
0.8554
0.8577
0.8599
0.8621
LO
0.8413
0.8438
0.8461
0.8708
0.8729
0.8749
08770
0.8790
0.8810
08830
11
08643
0.8665
0.8686
0.8907
0.8925
0.8944
0.8962
0.8980
0.8997
0.9015
1.2
O.8840
0.s869
0.8888
0.0066
0.9082
0.9099
0911S
09131
0.9147
0.9162
09177
13
0.9032
0.9049
0.9292
0.9319
0.9222
0.9236
0.9251
0.9265
09279
0.9306
1.4
0.9192
0.9207
0.9382
0.0394
0.9406
0,0418
0.9429
0.9441
0.9332
0.0345
0.9357
0.9370
1.5
0.9484
0.9495
0.9505
0.9515
0.9525
0.9515
0.9545
0.9474
0.9452
0.9554
16
0.9463
0.9608
0.9616
0.9625
0.9633
0.9564
0.9573
0.9582
0.9591
0.9599
17
99603
0.9706
0.0671
0.9678
0.9686
0.9699
L8
0.9641
0.9649
0.9656
0.9664
0.0738
0.9750
09756
0.9761
0.0767
0.0744
0.9713 09719
0.9732
19

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